Description

Developed a movie recommender system that leverages cosine similarity and Streamlit for an interactive user experience

Utilized cosine similarity: Analyzed movie metadata (genres, directors, actors, etc.) to calculate the similarity between movies, recommending those closest to the user's preferred choices

Integrated Streamlit: Built a user-friendly interface where users can input their favorite movies and receive personalized recommendations.